recurrent-interface-network-pytorch
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Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch
When running the Trainer example script from readme, the program fails to run with the following error: `Traceback (most recent call last): File "RIN.py", line 20, in trainer = Trainer(...
Hi Phil, I wanted to know about the specific compute that you used or some approximate estimate of compute required to get a minimal architecture runnning. Thanks
Hey, I've worked on reimplementing RIN based on the authors repo and this repo but I cannot manage to make it work with mixed precision and I see you do...
I think there is a bug in the interface self-conditioning in rin_pytorch.py. The model output is interpreted differently during the self-conditioning stage compared to the prediction stage. Currently we have...
Hi, Just another suggestion. Wouldn't the more accurate name for the classes Attention and LinearAttention in rin_pytorch.py be CrossAttention and SelfAttention?
Hi, I was looking to implement the RIN architecture using your code. I noticed you applied positional embedding in every block, as opposed to just once in the beginning. What...
recently ran into a researcher who told me there is a follow up paper to this work does anyone know of it?